Data & AI Engineer
2 weeks ago
- Develop parsing and chunking strategies for various types of data sources (Files, APIs, Newsletters, Email Lists, Web pages) and embed documents into vector databases.
- Manage and maintain vector databases with additional custom metadata.
- Design and implement RAG, experiment with prompt engineering.
- Integrate AWS Bedrock and LLM APIs into the system.
- Monitor and optimize RAG model performance.
- Design and implement data storage solutions for regulatory data.
- Ensure data integrity, security, and availability.
- Optimize database performance and scalability.
- Manage and experiment with MLOps using SageMaker.
Skills: Vector Databases(Qdrant, OpenSearch), Python, JS, PySpark, SQL, Jupyter Notebooks, SageMaker Studio
Additional Information-
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